Microsoft.ML.OnnxRuntime.Gpu
                               
                            
                                1.24.0-dev-20251013-0504-dde2fefe9d
                            
                        
                            
                                
                                
                                    Prefix Reserved
                                
                            
                    dotnet add package Microsoft.ML.OnnxRuntime.Gpu --version 1.24.0-dev-20251013-0504-dde2fefe9d
NuGet\Install-Package Microsoft.ML.OnnxRuntime.Gpu -Version 1.24.0-dev-20251013-0504-dde2fefe9d
<PackageReference Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.24.0-dev-20251013-0504-dde2fefe9d" />
<PackageVersion Include="Microsoft.ML.OnnxRuntime.Gpu" Version="1.24.0-dev-20251013-0504-dde2fefe9d" />
<PackageReference Include="Microsoft.ML.OnnxRuntime.Gpu" />
paket add Microsoft.ML.OnnxRuntime.Gpu --version 1.24.0-dev-20251013-0504-dde2fefe9d
#r "nuget: Microsoft.ML.OnnxRuntime.Gpu, 1.24.0-dev-20251013-0504-dde2fefe9d"
#:package Microsoft.ML.OnnxRuntime.Gpu@1.24.0-dev-20251013-0504-dde2fefe9d
#addin nuget:?package=Microsoft.ML.OnnxRuntime.Gpu&version=1.24.0-dev-20251013-0504-dde2fefe9d&prerelease
#tool nuget:?package=Microsoft.ML.OnnxRuntime.Gpu&version=1.24.0-dev-20251013-0504-dde2fefe9d&prerelease
About

ONNX Runtime is a cross-platform machine-learning inferencing accelerator.
ONNX Runtime can enable faster customer experiences and lower costs, supporting models from deep learning frameworks such as PyTorch and TensorFlow/Keras as well as classical machine learning libraries such as scikit-learn, LightGBM, XGBoost, etc. ONNX Runtime is compatible with different hardware, drivers, and operating systems, and provides optimal performance by leveraging hardware accelerators where applicable alongside graph optimizations and transforms.
Learn more → here
NuGet Packages
ONNX Runtime Native packages
Microsoft.ML.OnnxRuntime
- Native libraries for all supported platforms
- CPU Execution Provider
- CoreML Execution Provider on macOS/iOS
- XNNPACK Execution Provider on Android/iOS
Microsoft.ML.OnnxRuntime.Gpu
- Windows and Linux
- TensorRT Execution Provider
- CUDA Execution Provider
- CPU Execution Provider
Microsoft.ML.OnnxRuntime.DirectML
- Windows
- DirectML Execution Provider
- CPU Execution Provider
Microsoft.ML.OnnxRuntime.QNN
- 64-bit Windows
- QNN Execution Provider
- CPU Execution Provider
Intel.ML.OnnxRuntime.OpenVino
- 64-bit Windows
- OpenVINO Execution Provider
- CPU Execution Provider
Other packages
Microsoft.ML.OnnxRuntime.Managed
- C# language bindings
Microsoft.ML.OnnxRuntime.Extensions
- Custom operators for pre/post processing on all supported platforms.
Learn more about Target Frameworks and .NET Standard.
- 
                                                    .NETCoreApp 0.0- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.24.0-dev-20251013-0504-dde2fefe9d)
- Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.24.0-dev-20251013-0504-dde2fefe9d)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.24.0-dev-20251013-0504-dde2fefe9d)
 
- 
                                                    .NETFramework 0.0- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.24.0-dev-20251013-0504-dde2fefe9d)
- Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.24.0-dev-20251013-0504-dde2fefe9d)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.24.0-dev-20251013-0504-dde2fefe9d)
 
- 
                                                    .NETStandard 0.0- Microsoft.ML.OnnxRuntime.Gpu.Linux (>= 1.24.0-dev-20251013-0504-dde2fefe9d)
- Microsoft.ML.OnnxRuntime.Gpu.Windows (>= 1.24.0-dev-20251013-0504-dde2fefe9d)
- Microsoft.ML.OnnxRuntime.Managed (>= 1.24.0-dev-20251013-0504-dde2fefe9d)
 
GitHub repositories (13)
Showing the top 13 popular GitHub repositories that depend on Microsoft.ML.OnnxRuntime.Gpu:
| Repository | Stars | 
|---|---|
| fagenorn/handcrafted-persona-engine 
                                                            An AI-powered interactive avatar engine using Live2D, LLM, ASR, TTS, and RVC. Ideal for VTubing, streaming, and virtual assistant applications.
                                                         | |
| codeproject/CodeProject.AI-Server 
                                                            CodeProject.AI Server is a self contained service that software developers can include in, and distribute with, their applications in order to augment their apps with the power of AI.
                                                         | |
| NickSwardh/YoloDotNet 
                                                            YoloDotNet - A C# .NET 8.0 project for Classification, Object Detection, OBB Detection, Segmentation and Pose Estimation in both images and live video streams.
                                                         | |
| microsoft/psi 
                                                            Platform for Situated Intelligence
                                                         | |
| dme-compunet/YoloSharp 
                                                            🚀 A high performance real-time object detection solution using YOLO11 ⚡️ powered by ONNX-Runtime
                                                         | |
| sstainba/Yolov8.Net 
                                                            A .net 6 implementation to use Yolov5 and Yolov8 models via the ONNX Runtime
                                                         | |
| FaceONNX/FaceONNX 
                                                            Face recognition and analytics library based on deep neural networks and ONNX runtime
                                                         | |
| cassiebreviu/StableDiffusion 
                                                            Inference Stable Diffusion with C# and ONNX Runtime
                                                         | |
| TensorStack-AI/OnnxStack 
                                                            C# Stable Diffusion using ONNX Runtime
                                                         | |
| microsoft/Microsoft-Rocket-Video-Analytics-Platform 
                                                            A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
                                                         | |
| Particle1904/DatasetHelpers 
                                                            Dataset Helper program to automatically select, re scale and tag Datasets (composed of image and text) for Machine Learning training.
                                                         | |
| Lyrcaxis/KokoroSharp 
                                                            Fast local TTS inference engine in C# with ONNX runtime. Multi-speaker, multi-platform and multilingual.  Integrate on your .NET projects using a plug-and-play NuGet package, complete with all voices.
                                                         | |
| dje-dev/Ceres 
                                                            Ceres - an MCTS chess engine for research and recreation
                                                         | 
Release Def:
	Branch: refs/heads/main
	Commit: dde2fefe9deff01c3f25a57f1a027443af68f734
	Build: https://aiinfra.visualstudio.com/Lotus/_build/results?buildId=967766